Data Analysis using Web Scraping Python
- Authors: Vorobyeva A.A.1
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Affiliations:
- Derzhavin Tambov State University
- Issue: Vol 6, No 3 (2022)
- Pages: 533-544
- Section: Computer science and informatics
- Published: 21.01.2026
- URL: https://journal-vniispk.ru/2542-2340/article/view/371797
- ID: 371797
Cite item
Abstract
The principles of working with Web Scraping Python are described. Algorithms of data analysis using software tools are considered, the main tools for data extraction and work with them are described. An example of real estate market analysis using this technology is also analyzed. Various graphs of the dependence between the parameters are demonstrated and conclusions are drawn based on this.
About the authors
Anastasiya A. Vorobyeva
Derzhavin Tambov State University
Author for correspondence.
Email: Tmiooy@gmail.com
Master’s Degree Student in “Mathematics (Profile Big Data Processing and Intelligent Decision Support Systems)” Programme
Russian Federation, Internatsionalnaya St., 33, Tambov 392000, Russian FederationReferences
- Mitchell R. Web Scraping with Python. 2nd edition. Sebastopol: O’Reilly Media, Inc., 2018. 280 p.
- Федоров Д.Ю. Программирование на языке высокого уровня Python. М.: Юрайт, 2019. 161 с.
- Абдрахманов М.И. Python. Визуализация данных: Matplotlib. Seaborn. Mayavi. Devpractice Team, 2020. 412 с. URL: https://devpractice.ru/book-python-data-viz/ (дата обращения: 17.06.2022).
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